JARVIS AI Skills

Control robotic arms and grippers via voice or code with OpenClaw, supporting precise 6-DOF movement, force sensing, collision detection, and simulation.

Installieren
$clawhub install jarvis-skills

Robotic Control Skill (OpenClaw)

Overview

The Robotic Control skill integrates OpenClaw for physical robotic arm and gripper manipulation through voice commands and programmatic control.

Slug

robotic-control

Features

  • Robotic arm movement (6-DOF)

  • Gripper grab/release operations

  • Precise positioning and orientation

  • Force/torque sensing

  • Collision detection and safety

  • Action sequence execution

  • Hardware auto-detection

  • Simulation mode support

Implementation

  • Module: openclaw_control.py

  • Primary Library: OpenClaw SDK

  • Communication: USB Serial, Ethernet, ROS

Configuration

from openclaw_control import init_claw, get_claw


# Initialize claw
claw = init_claw()


# Control operations
claw.grab(force=50.0)
claw.move_to(10, 20, 30)
claw.release()

Voice Commands

  • "Jarvis, grab the object"

  • "Jarvis, move to 10 20 30"

  • "Jarvis, rotate 45 degrees"

  • "Jarvis, release"

  • "Jarvis, return to home"

  • "Jarvis, claw status"

Hardware Support

  • Universal Robots (UR)

  • ABB Robotics

  • KUKA

  • Stäubli

  • Custom embedded systems

Performance

  • Reach: 2-3 meters (model-dependent)

  • Payload: 3-500 kg (model-dependent)

  • Precision: ±0.03-0.1 mm

  • Speed: 1-7000 mm/s

  • Response Time: <10ms

Dependencies

  • openclaw

  • pyserial

  • numpy

Author

Aly-Joseph

Version

2.0.0

Last Updated

2026-01-31